opencv/opencv · GitHub event streams · Factory

01 · Data

Dataset versions

A dataset version is a capture of the source as of a date: its event spine and the files training reads.

1 dataset version

opencv/opencv opencv__opencv @ asof-2026-06-12

pooled8 member; recorded where it is (Modal, rezendi, vei-oss-data/opencv__opencv); see REPORT.md

llm_report · REPORT.md

opencv__opencv@asof-2026-06-12 — data stage report

Recorded 2026-10-13 as part of the OSS line's migration to the factory. The data already existed and nothing was rematerialized.

Inputs, by identity. GitHub's event API for opencv/opencv, materialized into the OSS canonical spine. Pooled8 member. The raw captures stay external, on the archive drive and Modal.

Output, by identity. canonical_events.jsonl, 60,151 events from 2023-06-29T04:01:24Z to 2026-06-12T17:52:47Z. The spine is recorded where it already is (Modal, rezendi, vei-oss-data/opencv__opencv) and not copied into the registry.

Drift. Ingest-time check (drift.json, drift.txt): 60,151 events over 37 periods | structural types excluded: none; 1 verb flags, 2 volume flags. The OSS runs split each stream at its own time quantile, so no single calendar split applies across the pooled streams, and no split-time check was run here. Its absence is a caveat on any result.

Receipts (2)

drift.json

{
  "era": {
    "n_periods": 37,
    "n_events": 60151,
    "structural_types": [],
    "verb_flags": [
      {
        "period": "2026-06",
        "verb": "issue_comment",
        "kind": "dropout",
        "count": 25,
        "trailing_median": 142.5,
        "ratio": 0.17543859649122806
      }
    ],
    "volume_flags": [
      {
        "period": "2025-04",
        "n_events": 1033.0,
        "trailing_median": 1601.5,
        "ratio": 0.6450202934748673
      },
      {
        "period": "2026-05",
        "n_events": 2618.0,
        "trailing_median": 1288.5,
        "ratio": 2.0318199456732633
      }
    ],
    "trailing_periods": 6,
    "spike_ratio": 4.0
  },
  "split": null
}

drift.txt

[drift] 60,151 events over 37 periods | structural types excluded: none
[drift] ERA SUSPECT 2026-06: 'issue_comment' dropout 25 vs trailing median 142.5 (0.2x)
[drift] VOLUME 2025-04: 1,033 events vs trailing median 1,602 (0.65x)
[drift] VOLUME 2026-05: 2,618 events vs trailing median 1,288 (2.03x)

4 files, 51.8 MB

Event spine · 1 file51.8 MB
canonical_events.jsonl4913676336d951.8 MB
Receipt · 2 files999 B
drift.json428a50d4d975699 B
drift.txt697a4c94d29b300 B
Phase_report · 1 file968 B
REPORT.md930e3d5a1814968 B

Events: 60,151 in 1 stream
Span: 29 Jun 2023 → 12 Jun 2026
Source: GitHub events API
Published: 13 Oct 2026

0 modelsnothing trained over it yet

02 · Features

Featurization

An Atlas recipe declares how events become model inputs.

No feature recipe has been recorded.

An Atlas recipe appears here once a run that names it is published, or once the recipe itself is registered.

03 · Training

Recipes and runs

A Praxis recipe fixes the model, the objective and the split.

No run has been published.

A run is one execution of a training recipe over named dataset versions. The first one born inside the platform will appear here with its launch.

04 · Evaluation

How it compares to other methods

No results have been published for this project.

A result is a cell: the config, the target at a horizon, the arm and head, the split, the numbers and their provenance.

Needed: an eval config and an eval run of a published model

05 · Serving

Ask the model

If the query service is cold, it will need a few minutes to warm up.

Serving

idle

Nothing is serving yet.

A published run with a report or a query surface answers here.